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DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250812T105500
DTEND;TZID=America/Los_Angeles:20250812T110500
UID:siggraph_SIGGRAPH 2025_sess150_papers_1165@linklings.com
SUMMARY:DuetGen: Music Driven Two-Person Dance Generation via Hierarchical
  Masked Modeling
DESCRIPTION:Anindita Ghosh (DFKI, Max Planck Institute for Informatics); B
 ing Zhou (Snap Inc.); Rishabh Dabral (Max Planck Institute for Informatics
 ); Jian Wang (Snap Inc.); Vladislav Golyanik and Christian Theobalt (Max P
 lanck Institute for Informatics); Philipp Slusallek (DFKI, Saarland Univer
 sity); and Chuan Guo (Snap Inc.)\n\nWe present a framework for generating 
 music-driven synchronized two-person dance animations with close interacti
 ons. Our system represents the two-person motion sequence as a cohesive en
 tity, performs hierarchical encoding of the motion sequence into discrete 
 tokens, and utilizes dual generative masked transformers to generate reali
 stic and coordinated dance motions.\n\nInterest Area: Research & Education
 \n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nR
 egistration Category: Full Conference, Virtual Access, Tuesday\n\nSession 
 Chair: Sheldon Andrews (École de Technologie Supérieure (ÉTS), McGill Univ
 ersity)\n\n
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